Automated detection and classification of patient-ventilator asynchrony by means of machine learning and simulated data.
Tom H. G. F. BakkesAnouk van DiepenAshley De BieLeon MontenijFrancesco MojoliR. Arthur BouwmanMassimo MischiPierre WoerleeSimona TurcoPublished in: Comput. Methods Programs Biomed. (2023)
Keyphrases
- machine learning
- automated detection
- pattern recognition
- machine learning algorithms
- decision trees
- machine learning methods
- supervised machine learning
- text classification
- support vector machine
- feature selection
- supervised learning
- automated analysis
- classification accuracy
- lung cancer
- learning algorithm
- ultrasonic images
- model selection
- feature space
- support vector
- statistical methods
- knowledge discovery
- training set
- computer vision
- breast tumors